Results 281 to 290 of about 31,792 (349)

Gap-Filling for Daily Latent Heat Flux Observations with the Full-factorial method at Global Flux Sites. [PDF]

Sci Data
Wang X, Tang F, Jiang Y, Lou Y.
europepmc   +1 more source

Advancing Data-driven Weather Forecasting: Time-Sliding Data Augmentation of ERA5 [PDF]

Minjong Cheon, Daehyun Kang, Yo-Hwan Choi, Seon-Yu Kang   +3 more
openalex   +1 more source

DeepRec: Global Terrestrial Water Storage Reconstruction Since 1941 Using Spatiotemporal‐Aware Deep Learning Model

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.
Abstract Terrestrial water storage (TWS) plays an important role in describing the Earth system, as water availability is decisive for ecosystems and human development. Since 2002, the Gravity Recovery and Climate Experiment (GRACE) and its Follow‐On (GRACE‐FO) mission have measured TWS anomalies with unprecedented accuracy, enabling a leap in ...
Luis Q. Gentner, Junyang Gou, Mohammad J. Tourian, Lara Börger, Nico Sneeuw, Benedikt Soja   +5 more
wiley   +1 more source

FuXi-ENS: A machine learning model for efficient and accurate ensemble weather prediction. [PDF]

Sci Adv
Zhong X, Chen L, Li H, Buizza R, Liu J, Feng J, Zhu Z, Fan X, Dai K, Luo JJ, Wu J, Lu B.   +11 more
europepmc   +1 more source

SynQPF‐Net: Short‐Term Precipitation Forecasts by Integrating GraphCast Predictions and High‐Resolution Observational Analyses

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.
Abstract While data‐driven global weather models (e.g., GraphCast) excel at large‐scale circulation forecasts, they exhibit systematic biases in heavy precipitation prediction due to European Centre for Medium‐Range Weather Forecasts Reanalysis (ERA5) uncertainties and neural networks' tendency to over‐smooth rainfall fields.
Dandan Chen, Dan Yao, Yaqiang Wang
wiley   +1 more source

Spatiotemporal variation characteristics and influencing factors of snow density in the High Mountain Asia from 1960 to 2023. [PDF]

PLoS One
Wang Z, Cui D, Li B, Liu H.
europepmc   +1 more source

Validation of ERA5-Land latest vs ISMN 20250617 global

Colin Moldenhauer
openalex   +1 more source

CTRIP‐HyDAS: A Global‐Scale Data Assimilation Framework for SWOT‐Derived Discharge Using Synthetic Observations at High Resolution (1/12°)

Water Resources Research, Volume 62, Issue 2, February 2026.
Abstract The integration of satellite‐based observations into hydrological models offers transformation potential for improving discharge predictions globally, especially in regions lacking in situ measurements. This study presents CTRIP‐HyDAS, a global‐scale hydrological data assimilation framework that merges SWOT‐derived discharge observations with ...
Kaushlendra Verma, Simon Munier, Aaron Boone, Patrick Le Moigne   +3 more
wiley   +1 more source

Daily Land Surface Temperature Reconstruction in Landsat Cross-Track Areas Using Deep Ensemble Learning With Uncertainty Quantification. [PDF]

IEEE Trans Geosci Remote Sens
Liu S, Wang S, Zhang L.
europepmc   +1 more source

Evaporation‐Induced Hysteresis in Surface Water‐Groundwater Exchange in Wetlands

Water Resources Research, Volume 62, Issue 2, February 2026.
Abstract Evaporation is a major pathway of surface water loss in wetlands, yet its influence on subsurface feedbacks remains poorly understood. Using an integrated surface–subsurface hydrologic and solute transport model, we show that evaporation can induce hysteresis between evaporative demand and the upwelling of groundwater and solutes, with the ...
Chen Ding, Kewei Chen, Yang Zhan, Chunmiao Zheng, Zhilin Guo   +4 more
wiley   +1 more source